Wojtek Bialek - Dataedo Team Wojtek Bialek 25th April, 2023

What is Redash?

Redash is an open-source application used for visualizaing data from multiple datasources. It uses data source native languge for queries in order to extract data and use it's results for visualization. Redash also enables user to create dashboards from already created visualizations.

Connection requirements

  • To connect to Redash there are no special requirements besides having account API key.
  • To import all Redash object account from which API Key comes from, have to be added to all groups and have admin permisions. Otherwise only part of object will be properly improted

Connecting to Redash

Getting API Key from Redash

To get your Account API Key go to your profile, and copy it using build-in button.

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Connecting in Dataedo

To connect to Redash create new documentation by clicking Add documentation and choosing New connection.

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On the connection screen choose Redash.

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Provide connection details:

  • Host - provide a host name or address where a database is on. E.g. ,
  • API Key- provide your account Api Key

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Saving API Key

You can save API Key for later connections by checking Save API Key option. API Keys are saved in the repository database.

Importing objects

When connection was successful Dataedo will read objects and show a list of objects found. You can choose which objects to import. You can also use advanced filter to narrow down list of objects.

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Confirm list of objects to import by clicking Next.

Next screen with allow you to change default name of the documentation under with your schema will be visible in Dataedo repository.

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Click Import to start the import.

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When done close import window with Finish button.

Your Redash has been imported to new documentation in the repository.

Importing changes

To sync any changes in the schema in Redash and reimport any technical metadata simply choose Import changes option. You will be asked to connect to Redash again and changes will be synced from the source.

Scheduling imports

You can also schedule metadata updates using command line files. To do it, after creating documentation use Save update command option. Downloaded file can be run in command line, what will reimport changes to your documentation.


Imported metadata

Imported Editable
  Query Description
   Data types
   Column comments
  Visualization Description
    Data types
    Column comments
  Dashboard Description
    Data types
    Column comments

Supported features

Feature Imported
Import comments
Write comments back
Data profiling
Reference data (import lookups)
Importing from DDL
Generating DDL
FK relationship tester


Dataedo reads comments from following Redash objects:

Object Read Write back
Query comments
Visualization comments
Dashboard comments

Data Lineage

Source Method
Queries - object level From API
Queries - column level From API
Queries - column level From SQL parsing
Visualizations - object level From API
Visualizations - column level From API
Visualizations - column level From SQL parsing
Dashboards - object level From API
Dashboards - column level From API
Dashboards - column level From SQL parsing

Known issues and limitations

  • Queries with parameters can sometimes not import columns
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